Data Analytics Engineer, College of Natural Sciences

About the role

The Data Analytics Engineer designs, develops, and supports integrated data solutions that enable informed decision-making across academic, research, and administrative functions of the university. This role plays a key part in managing and integrating data across multiple environments, including combining local data with central campus datasets within the UT Data Hub framework.

Responsibilities

• Develops, codes, validates, and implements relational databases and integrated data structures that support analytics.
• Collaborates with functional partners to collect business requirements and develop and refine business logic.
• Crafts code for the translation and transformation of functional business logic into a high-scale database environment that can readily support the production of descriptive, predictive, and prescriptive analytics and consumable reports, dashboards, and other tools to support University decision-making.
• Understands how to best design database structures for meaningful data visualizations and interactive tools.
• Engages in best practices in data analytics and data engineering - including robust validation processes, testing/deployment procedures, algorithms for data mining, version control and code integration, thorough documentation, and automation and streamlining of data processing pipelines.
• Applies creativity and flexibility to find solutions for new institutional data challenges.
• Affords assistance with special projects and ad hoc data requests as needed.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent professional experience.
• Strong technical expertise in using SQL to query large databases, manipulate and validate data, implement business logic, and analyze data.
• Excellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts.
• Prioritizes and organizes tasks effectively, handles confidential information with tact and discretion.
• Excellent written and verbal communication skills, critical thinking and creative problem-solving, and attention to detail.
• Demonstrated ability to maintain a high level of professionalism.

Qualifications

• Relevant education and experience may be substituted as appropriate.

Skills

• Experience working in a higher education or research environment.
• Familiarity with institutional data domains (e.g., student, enrollment, research, finance, HR).
• Experience working with cloud data platforms or analytics services and PostgreSQL environments.
• Experience supporting business intelligence or analytics tools (e.g., Power BI, Tableau).
• Knowledge of data governance, stewardship, and compliance in higher education.
• Experience collaborating across decentralized organizations.
• Familiarity with UT Austin's administrative computing environment.
• Experience with metadata management software.

Benefits

The university offers an impressive benefits package, including:

• Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
• E-Verify: The University of Texas at Austin uses E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197.
• Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position.

Pay

$80,000 + depending on qualifications

Schedule

Weekly Scheduled Hours: 40